The integration of Structural Health Monitoring (SHM) systems in construction provides critical capabilities for the real-time assessment of structural integrity. These systems enable the detection of damage initiation, progressive deterioration, and changes in serviceability, particularly following seismic events. SHM is especially valuable in base-isolated structures, where continuous monitoring supports the verification of isolation performance, validation of analytical models, and assessment of deviations from design assumptions under dynamic loading conditions.

This study presents the implementation and preliminary data acquired processing of a permanent SHM system installed in the newly constructed Chemistry Interdisciplinary Project (ChIP) Research Centre at the University of Camerino The structure, funded by the Italian Civil Protection Department (DPC), was built following the 2016 Central Italy seismic sequence. The building comprises a two-storey steel braced-frame structure on a reinforced concrete slab isolated from the foundations resting on a steep slope through a hybrid system constituted by 28 high-damping rubber bearings (HDRBs) and 36 low-friction sliding bearings.

The SHM system, integrated from the early construction stages, includes a network of accelerometers, linear position transducers and strain gauges strategically placed throughout the superstructure and isolation interface to capture comprehensive dynamic response of the structure. Over a one-year monitoring period, Ambient Vibration Testing (AVT) and Operational Modal Analysis (OMA) were conducted periodically to evaluate the building's modal properties under low-amplitude ambient excitations. In addition, the structure response during seismic event with magnitude Mw 3.5, with an epicenter close to the site is analyzed.

The results provide valuable insights into the in-service performance and resilience of hybrid base-isolated systems under combined seismic, environmental, and operational loads. The findings underscore the importance of long-term SHM data for model updating, performance verification, and lifecycle management of seismically resilient infrastructure.